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careerbot_PG6_Qwen_Qwen2.5-0.5B-Instruct_model_LoRA_2

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End of training

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Files changed (7) hide show
  1. README.md +5 -6
  2. adapter_config.json +2 -2
  3. adapter_model.safetensors +1 -1
  4. final/adapter_config.json +2 -2
  5. final/adapter_model.safetensors +1 -1
  6. final/training_args.bin +1 -1
  7. training_args.bin +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.9641
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  ## Model description
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@@ -35,22 +35,21 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - lr_scheduler_warmup_steps: 2000
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- - num_epochs: 2
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 4.3482 | 1.0 | 674 | 4.0260 |
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- | 4.087 | 2.0 | 1348 | 2.9641 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.9414
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 800
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+ - num_epochs: 1
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 4.3394 | 1.0 | 674 | 3.9414 |
 
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  ### Framework versions
adapter_config.json CHANGED
@@ -23,8 +23,8 @@
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final/adapter_config.json CHANGED
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  "use_dora": false,
 
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